Development of a dynamic model for estimating the food web transfer of chemicals in small aquatic ecosystems

• Published in: The Science of the total environment Vol. 409; no. 24; pp. 5416 - 5422
• Main Authors: Nfon, Erick, Armitage, James M., Cousins, Ian T.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier B.V 15.11.2011; Elsevier
• Subjects: Animal and plant ecology; Animal, plant and microbial ecology; Applied ecology; Aquatic Organisms; Bioaccumulation; Biological and medical sciences; Biomass; chemical substances; chemistry; Density; Dynamic model; dynamic models; Ecosystem; ecosystems; Ecotoxicology, biological effects of pollution; Estimates; European Union; Exposure; exposure models; Fate; Food Chain; food webs; Foods; Fundamental and applied biological sciences. Psychology; General aspects; Geologic Sediments; Geologic Sediments - chemistry; Guidelines; Hydrophobic and Hydrophilic Interactions; hydrophobicity; Macrophytes; Mathematical models; metabolism; methods; Models, Theoretical; pesticides; Pesticides - chemistry; Pesticides - metabolism; Plant Development; Plants; Plants - metabolism; Ponds; Ponds - chemistry; Risk; Risk Assessment; Risk Assessment - methods; risk estimate; simulation models; submerged aquatic plants; Synecology; Water Pollutants, Chemical; Water Pollutants, Chemical - chemistry; Water Pollutants, Chemical - metabolism; European Union; Risk; Macrophytes; Exposure; Dynamic model; Bioaccumulation; Fate; Aquatic environment; Food web; Ecosystem; Development; Aquatic plant; Biological accumulation
• ISSN: 0048-9697; 1879-1026; 1879-1026
• DOI: 10.1016/j.scitotenv.2011.08.070

A dynamic combined fate and food web model was developed to estimate the food web transfer of chemicals in small aquatic ecosystems (i.e. ponds). A novel feature of the modeling approach is that aquatic macrophytes (submerged aquatic vegetation) were included in the fate model and were also a food item in the food web model. The paper aims to investigate whether macrophytes are effective at mitigating chemical exposure and to compare the modeling approach developed here with previous modeling approaches recommended in the European Union (EU) guideline for risk assessment of pesticides. The model was used to estimate bioaccumulation of three hypothetical chemicals of varying hydrophobicity in a pond food web comprising 11 species. Three different macrophyte biomass densities were simulated in the model experiments to determine the influence of macrophytes on fate and bioaccumulation. Macrophytes were shown to have a significant effect on the fate and food web transfer of highly hydrophobic compounds with log KOW>=5. Modeled peak concentrations in biota were highest for the scenarios with the lowest macrophyte biomass density. The distribution and food web transfer of the hypothetical compound with the lowest hydrophobicity (log KOW=3) was not affected by the inclusion of aquatic macrophytes in the pond environment. For the three different hypothetical chemicals and at all macrophyte biomass densities, the maximum predicted concentrations in the top predator in the food web model were at least one order of magnitude lower than the values estimated using methods suggested in EU guidelines. The EU guideline thus provides a highly conservative estimate of risk. In our opinion, and subject to further model evaluation, a realistic assessment of dynamic food web transfer and risk can be obtained using the model presented here. ► A dynamic combined fate and food web model is developed. ► The model treats macrophytes (submerged aquatic vegetation). ► The model is compared to the approach recommended in the European Union (EU) guideline. ► Macrophytes are shown to mitigate exposure for highly hydrophobic chemicals. ► The new modeling approach is more realistic and less conservative than existing recommended approaches.